The use of weighted multiple linear regression to estimate QTL  × QTL × QTL interaction effects of winter wheat (Triticum aestivum L.) doubled-haploid lines

J Appl Genet. 2023 Oct 25. doi: 10.1007/s13353-023-00795-3. Online ahead of print.ABSTRACTKnowledge of the magnitude of gene effects and their interactions, their nature, and contribution to determining quantitative traits is very important in conducting an effective breeding program. In traditional breeding, information on the parameter related to additive gene effect and additive-additive interaction (epistasis) and higher-order additive interactions would be useful. Although commonly overlooked in studies, higher-order interactions have a significant impact on phenotypic traits. Failure to account for the effect of triplet interactions in quantitative genetics can significantly underestimate additive QTL effects. Understanding the genetic architecture of quantitative traits is a major challenge in the post-genomic era, especially for quantitative trait locus (QTL) effects, QTL-QTL interactions, and QTL-QTL-QTL interactions. This paper proposes using weighted multiple linear regression to estimate the effects of triple interaction (additive-additive-additive) quantitative trait loci (QTL-QTL-QTL). The material for the study consisted of 126 doubled haploid lines of winter wheat (Mandub × Begra cross). The lines were analyzed for 18 traits, including percentage of necrosis leaf area, percentage of leaf area covered by pycnidia, heading data, and height. The number of genes (the number of effective factors) was lower than the number of QTLs for nine traits, higher for four t...

Source: J Appl Genet - October 25, 2023 Category: Genetics & Stem Cells Authors: Adrian Cyplik Dominika Piaskowska Pawe ł Czembor Jan Bocianowski Source Type: research